Smart Sensors and Systems

Introduction.- Biomimetic Materials and Structures for Sensor Applications.- CMOS Integrated Lab-on-chip System for Personalized Biomedical Diagnosis.- Performance Enhancement of LED Spectrophotometry based on Pseudo BJT System.- mm-scale Sensors: Ultra-Low Power Sensor Platform for Future IoT Applications.- Smart Sensor Microsystems: Application-Dependent Design & Integration Approaches.- Energy Efficient RRAM Crossbar-based Neuromorphic Computation for Smart Camera.- NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes.- Artificially engineered compound eye sensing systems.- Intelligent Vision Processing Technology for Advanced Driver Assistance Systems.- Implantable optical neural interface.- Realtime programmable closed-loop stimulation/recording platforms for deep brain stud, or Mobile ECG sensing and linear/nonlinear analysis systems.- Internet of Medical Things: the Next PC (personal care) Era.- UV Sensors based on Flexible Materials.- Urine Microchip Sensing System.- Construction of Indoor GPS and In-and-outdoor Integrated Navigation System.- Proximity-based Federation of Smart Objects and their Application Framework.- Edge Computing for Cooperative Real-Time Controls using Geospatial Big Data.- Challenges of Application of ICT in Cattle Management.- Data Health: Sensor Data Analysis for



a Hospital and Developing Countries.

Yongpan Liu received his B.S., M.S. and Ph.D. degrees from Electronic Engineering Department, Tsinghua University in 1999, 2002, and 2007. He worked as a Research Assistant in Circuit and System Divisions in Tsinghua University from 2002 to 2004. (Referred to CV) His main research interests include: Embedded System, Nonvolatile Computing, Electronics Design Automation and Power/Thermal Aware VLSI Design and Test. Our group currently focuses on High Performance Low Power circuit device, chip architecture and system design methodology on next generation computing applications.